Give your career services team an AI agent that tailors resumes and cover letters to each client's target job.
Buda helps career coaches, resume writers, and placement consultants run resume gap analysis, resume tailoring, cover letter drafting, LinkedIn alignment, interview-prep briefs, and application tracking with agents working from one shared client workspace.
Every client's application needs its own research before a single line gets written.
A client's resume history is scattered across old resume versions, LinkedIn exports, saved job postings, past cover letters, intake-call notes, style templates, and ATS keyword lists.
Before a coach can rewrite a single bullet, time goes into rereading the posting, the client's old resume, and notes from the intake call.
A generic resume generator drafts generic bullets, invents an accomplishment the client never had, or reuses one cover letter template for every company, which a client can submit before anyone checks it.
A career-services operations lead can't see which resume version went to which employer, whether the cover letter matched the posting, or what stage each application has reached.
Build a workflow around AI Agent for Resume.
Buda is not a resume-generator chatbot. Coaches, writers, consultants, and their agents work from the same client folder, with review rules attached to every draft that comes out of it.
A gap analysis agent, resume tailoring agent, cover letter drafting agent, LinkedIn alignment agent, interview-prep agent, and application tracking agent all work from the same client file, so nothing gets rewritten from a blank page twice.
Agents produce a gap analysis, a tailored resume, a cover letter, LinkedIn edits, and an interview-prep brief — each a reviewable artifact a coach or writer checks before anything reaches the client.
Old resumes, LinkedIn exports, saved job postings, past cover letters, and intake notes stay linked to the client file an agent is working from, instead of scattered across a dozen folders.
Six named agents work one client file at a time, and every draft they produce is something a person opens and checks, never something that ships on its own.
Reads a client's resume and LinkedIn profile against one target job posting, then drafts what's missing, underdeveloped, or not matched to the posting's language before any rewriting starts.
Rewrites bullet phrasing, reorders work history, and aligns keywords against the same posting the coach flagged, so the writer edits a full draft instead of starting from a blank page.
Drafts a cover letter matched to the specific role and company, pulling detail from the job posting and the client's newly tailored resume so the opening line isn't generic.
Drafts a headline, summary, and experience edits for a client's LinkedIn profile so it reads consistently with the resume that was just tailored to the same posting.
Prepares an interview-prep brief tied to the specific application: likely questions, company research, and talking points drawn from the tailored resume and the job posting.
Tracks which resume and cover letter version went out for which posting, and what stage each application has reached across a client's active applications.
Choose a workflow, turn on the agents, and see the first draft waiting in the workspace by end of day. Free pilot — no credit card.
Start with one client and one job posting, then expand.
Four weeks. One workflow. A clear read on draft quality before you scale to more clients.
Start with gap analysis, resume tailoring, cover letter drafting, LinkedIn alignment, or interview-prep briefs for one client and one job posting.
Narrow it to one client and one posting so a coach can catch every miss before it becomes a pattern.
Set up the client folder, bring in the coaches and writers who will use it, and turn on only the agents this workflow needs.
Set the approval line for this workflow: what an agent may draft freely, and what always needs review before a client sees it.
Open the drafts the agents produced this week, check the sources and keyword matches behind each one, and confirm nothing shipped without a coach's sign-off.
Note which drafts needed almost no edits, and which ones still needed a coach to rewrite from scratch.
If the workflow holds up, repeat it with another client, another job posting, or the next workflow in the sequence.
If it doesn't hold up, no client's application suffered for the experiment — what the agents drafted and what a coach signed off on both stay on record for the team to look back on.
A resume, cover letter, or LinkedIn profile represents a real person's job search, and a mistake here has real consequences: a fabricated accomplishment, a mismatched company reference, or a generic cover letter that reads like a template.
Buda gives career-services teams a safer model: agents prepare the resume, cover letter, LinkedIn, and interview-prep drafts inside a shared workspace, and a coach, writer, or consultant reviews each one before anything reaches the client.
Do not use AI to invent a client's accomplishments, submit application materials on a client's behalf, or replace the coach's judgment about what belongs on a resume.
Use it as a career-services operations layer that helps your team turn out more tailored applications while a person still decides what represents each client.
An AI agent for resume work is a software agent that helps career-services teams handle repeated preparation tasks: comparing a resume to a job posting, tailoring bullets, drafting cover letters, aligning LinkedIn profiles, preparing interview-prep briefs, and tracking application status.
A resume generator usually outputs one finished document from a short prompt, with nothing saved behind it. An AI agent works from the client's actual files and the specific job posting, and produces a draft a coach or writer reviews before it goes anywhere near the client.
Not for the judgment calls. Agents can draft the gap analysis, tailor the bullets, and prepare a cover letter, but a coach or writer should still decide what represents a client honestly, and review every draft before it reaches them.
Start narrow: resume tailoring or gap analysis for one client and one job posting is easy to review line by line before you widen it to a second client or workflow.
No. Buda's AI agent for recruitment page covers a hiring company's own team screening incoming candidates for their open roles. This page covers the other side of the table: a career-services team preparing a candidate's own resume, cover letter, and interview materials for a job they're applying to.
Yes, as one workflow among the others. The interview-prep brief agent prepares likely questions, company research, and talking points tied to the specific application a client just tailored a resume for, so a coach or placement consultant has something concrete to review before the client's interview.
Career coaches, professional resume writers, career services consultants, university career-center advisors, placement consultants, and career-services operations leads each pull their own draft from the same client file, from a gap analysis to an application recap.
Send more tailored applications with agents preparing the draft, not just your team.
Start with one workflow: resume gap analysis, resume tailoring, cover letter drafting, LinkedIn alignment, or interview-prep briefs.
Free pilot · No credit card · Live in 30 minutes